Deep learning approaches to anomaly detection (AD) have recently improved the state of
the art in detection performance on complex data sets, such as large collections of images or …

Advances in technology have been able to affect all aspects of human life. For example, the
use of technology in medicine has made significant contributions to human society. In this …

Anomaly detection is an important problem that has been well-studied within diverse
research areas and application domains. The aim of this survey is two-fold, firstly we present …

Data science is an interdisciplinary field that extracts knowledge and insights from many
structural and unstructured data, using scientific methods, data mining techniques, machine …

Corruption is embedded in health systems. Throughout my life—as a researcher, public
health worker, and a Minister of Health—I have been able to see entrenched dishonesty and …

The COVID-19 pandemic has impelled the majority of schools and universities around the
world to switch to remote teaching. One of the greatest challenges in online education is …

Intrusion Detection Systems (IDSs) play a vital role in securing today's Data-Centric
Networks. In a dynamic environment such as the Internet of Things (IoT), which is vulnerable …

The health care industry is one of the important service providers that improves people lives.
As the cost of the healthcare service increases, health insurance becomes the only way to …

Health care insurance fraud is a pressing problem, causing substantial and increasing costs
in medical insurance programs. Due to large amounts of claims submitted, estimated at 5 …

Anomaly detection has numerous applications in diverse fields. For example, it has been
widely used for discovering network intrusions and malicious events. It has also been used …